Edureka

AUGUST 2, 2023

They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used. They are responsible for processing, cleaning, and transforming raw data into a structured and usable format for further analysis or integration into databases or data systems.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data. Key Benefits and Takeaways Learn the basics of big data with Spark.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

MARCH 27, 2024

APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Amazon, Microsoft, IBM, and other tech giants use it today as one of the best tools for big data analysis. are accessible via URL.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Sensor data.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

JANUARY 19, 2024

As you explore advanced data science topics, you discover the magic behind automating predictions and uncovering patterns in complex datasets. Paving the way for creating intelligent systems. For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

NOVEMBER 28, 2023

Then the data is entered into the system, and the management stage begins. The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. Who is a Data Scientist?

Data Science 52

Data Science Telecommunication Recruitment Finance 52

U-Next

AUGUST 11, 2022

Data Science is an interdisciplinary field that blends programming skills, domain knowledge, reasoning skills, mathematical and statistical skills to generate value from a large pool of data. When it comes to the analysis and processing of data, Data Scientists are distinguished from data engineers at each step of the way.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40

ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. Another reason to use PySpark is that it has the benefit of being able to scale to far more giant data sets compared to the Python Pandas library.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 31, 2021

Projects requiring the generation of a recommendation system are excellent intermediate Big Data projects. The use of Spark SQL to store the data and Apache Hive to process the data, along with a few applications of machine learning, can build the required recommendation system.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 24, 2021

With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity. This big data project discusses IoT architecture with a sample use case. Google BigQuery receives the structured data from workers.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52